Schedule: 计算机视觉（Computer Vision） sessions

The renewed interest in AI can be traced to the success of deep learning architectures in image classification and speech recognition. Since its emergence in 2012, computer vision researchers continue to push deep learning architectures, most recently towards content generation via semi-supervised learning. Computer vision is an active research area where ideas are being turned into real-world products.

Reza Zadeh offers an overview of Matroid’s Kubernetes deployment, which provides customized computer vision and stream monitoring to a large number of users, and demonstrates how to customize computer vision neural network models in the browser. Along the way, Reza explains how Matroid builds, trains, and visualizes TensorFlow models, which are provided at scale to monitor video streams.
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